df = pd.read_csv("./data/grades.csv", index_col = "Identifier")
# This is the examples of existing grades of the images
df.head()
| Grade | Centering | Surface | Corners | Edges | |
|---|---|---|---|---|---|
| Identifier | |||||
| 2135041001 | 7.5 | 10.0 | 7.0 | 8.5 | 7.5 |
| 2135041002 | 8.0 | 10.0 | 7.5 | 8.5 | 8.0 |
| 2135041003 | 9.0 | 9.5 | 8.5 | 9.0 | 9.0 |
| 2135041004 | 8.5 | 9.5 | 8.5 | 9.0 | 8.5 |
| 2135041005 | 8.0 | 10.0 | 8.5 | 8.5 | 7.5 |
# Histogram of final scores of cards
fig = px.histogram(df, x = 'Grade', title = 'Histogram of grades')
fig.show()
# Histogram of "Centering" scores of cards
fig = px.histogram(df, x = 'Centering', title = 'Histogram of centering')
fig.show()
# Histogram of "Surface" scores of cards
fig = px.histogram(df, x = 'Surface', title = 'Histogram of surface')
fig.show()
# Histogram of "Corners" scores of cards
fig = px.histogram(df, x = 'Corners', title = 'Histogram of corners')
fig.show()
# Histogram of "Edges" scores of cards
fig = px.histogram(df, x = 'Edges', title = 'Histogram of edges')
fig.show()